[PDF] Top 20 Instance based Evaluation of Entailment Rule Acquisition
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Instance based Evaluation of Entailment Rule Acquisition
... evaluating acquisition algorithms for several rea- ...of acquisition algorithms of- ten do not have access to the different applications that will later use the learned rules as generic mod- ...are ... See full document
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Performance Evaluation of Rule Based Classification Algorithms
... instances based on the knowledge learnt from a previously classified training set of ...trees, rule-based induction, neural networks, genetic algorithms and bayesian ...networks.Rule based ... See full document
5
Ontology Based Rule Acquisition from similar Web with Knuth Morris Pratt Algorithm
... about rule components and ...the rule component identification step needs variables, values, and the relationship between them, the rule composition step requires generalized rule ...each ... See full document
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Integrating Pattern Based and Distributional Similarity Methods for Lexical Entailment Acquisition
... Hearst (1992) pioneered the use of lexical- syntactic patterns for automatic extraction of lexical semantic relationships. She acquired hy- ponymy relations based on a small predefined set of highly indicative ... See full document
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An Unsupervised Model for Instance Level Subcategorization Acquisition
... (SCF) acquisition rely on su- pervised parsing and infer SCF distribu- tions at type, rather than instance ...SCF acquisition which is designed to address these ...task-based evaluation ... See full document
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Repeated Rule Acquisition using Rule Ontology from Similar Web Sites Based on Genetic Algorithm
... well-defined evaluation methodology we first explicitly specify when entailment rules should be considered correct, following the spirit of their usage in ...new instance-based ... See full document
5
Finding Word Substitutions Using a Distributional Similarity Baseline and Immediate Context Overlap
... For entailment systems, the annotation usu- ally relies on two tests: whether the meaning of one word entails the other one in some senses of those words, and whether the judges can come up with contexts in which ... See full document
9
Toward Qualitative Evaluation of Textual Entailment Systems
... which entailment holds, from the negative pairs, for which entailment does not hold (two way ...is based on edit distance algorithms, and computes the [T,H] distance as the overall cost of the edit ... See full document
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COROR: A COmposable Rule entailment Owl Reasoner for Resource Constrained Devices, LNCS Rule Based Reasoning, Programming, and Applications
... 2.6.3, BaseVISor 1.5.0 [20], and swiftOWLIM v3.0.1, were selected in this comparison due to their similarity with COROR in terms of expressivity and reasoning algorithm. Note that although Bossam supports J2ME CDC we ... See full document
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Large Scale Verb Entailment Acquisition from the Web
... Textual entailment recognition plays a fundamental role in tasks that require in- depth natural language ...use entailment recognition tech- nologies for real-world applications, a large-scale ... See full document
10
Contradiction focused qualitative evaluation of textual entailment
... For instance, (Snow et ...tual entailment that focuses on the use of syntactic heuristics to recognize false ...inferences based on seman- tics, and features relating to negation are ... See full document
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Instance Based Acquisition of Vowel Harmony
... Instance-based approaches to cognitive process- ing, also called memory-based, case-based, and exemplar-based models, have their modern origins in psychological theories and models of ... See full document
8
Pruning methods for rule induction
... considers rule-induction methods that learn a set of propositional rules where the target concept is represented as a set of ...Each rule consists of an antecedent (or body of rule) and a ...on ... See full document
118
Recognizing Textual Entailment based on Deep Learning Approach
... Textual entailment (TE) is a relation that holds between two pieces of text where one reading the first piece can conclude that the second is most likely ...model based on deep learning approach to ... See full document
6
Morphological Rule Induction for Terminology Acquisition
... daille col00 1 dvi Morphological Rule Induction for Terminology Acquisition B?eatrice Daille IRIN, 2, rue de la Houssini?ere, BP 92208, 44322 Nantes Cedex 3 France daille@irin univ nantes fr Abstract[.] ... See full document
7
Machine Translation Evaluation with Textual Entailment Features
... Table 3 illustrates the difference between R TE and T RAD M T . In the first example, R TE makes a more ac- curate prediction than T RAD M T . The human rater’s favorite translation deviates considerably from the ref- ... See full document
5
Interactive Instance based Evaluation of Knowledge Base Question Answering
... Our system consists of a web-based front-end and a set of back-end services that communicate through HTTP REST API (see Figure 2). The front-end contains the interactive debugging user interface (Section 4). A ... See full document
6
Large Scale Acquisition of Entailment Pattern Pairs by Exploiting Transitivity
... acquiring entailment pairs of binary patterns on a ...of entailment and a self-training scheme to improve the performance of an already strong supervised classifier for en- tailment, and unlike previous ... See full document
7
Automatic Partial Parsing Rule Acquisition Using Decision Tree Induction
... a rule group using longest-match ...first-matching rule in the group to the correspond- ing substring, because the rules induced from the decision tree are ... See full document
12
Gravity Drainage Visualization Experimental Study of Heavy Oil Reservoirs
... signal acquisition to study the condensate drainage rule, and the influence of pressure difference to instantaneous water amount through experimental data are ... See full document
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